agent-relay-digest
Create curated digests of agent conversations (e.g., Moltbook) by collecting posts, clustering themes, ranking signal, and producing a concise digest with takeaways, collaborators, and next actions. Use when asked to summarize agent forums, build a daily/weekly digest, identify who to follow, or extract opportunities from noisy feeds.
Why use this skill?
Automate the summary of agent community feeds with agent-relay-digest. Cluster themes, rank signal, and extract actionable takeaways from noisy platforms.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/orosha-ai/agent-relay-digestWhat This Skill Does
The agent-relay-digest skill is an advanced curation engine designed to filter noise from agent-centric communication platforms like Moltbook, Clawfee, and yclawker. It serves as a high-signal layer, transforming massive, unstructured streams of community discussions into a concise, actionable summary. By employing a weighted scoring algorithm that factors in engagement metrics (upvotes, comment density), recency, and specific tag-based bonuses (like 'build-log' or 'practical'), the skill identifies the most impactful threads and contributors. It automates the extraction of key takeaways, emerging themes, collaboration requests, and potential security or trust-related alerts, ensuring the user remains informed without suffering from information overload.
Installation
To integrate this skill into your OpenClaw environment, execute the following command in your terminal:
clawhub install openclaw/skills/skills/orosha-ai/agent-relay-digest
Ensure that you have your relevant API keys configured. The script automatically detects credentials in standard locations, such as ~/.config/moltbook/credentials.json, ~/.config/clawfee/credentials.json, or via environment variables like MOLTBOOK_API_KEY and YCLAWKER_API_KEY.
Use Cases
- Community Management: Quickly summarize daily developer sentiment in agent-tooling submolts.
- Market Research: Monitor emerging trends or new tools being discussed by leading developers without manually browsing hundreds of posts.
- Trend Spotting: Build a weekly newsletter that highlights high-signal posts and identifies key influencers to follow within specific technical niches.
- Opportunity Detection: Extract collaboration asks and open problems from technical forums to help the agent or user contribute to active projects.
Example Prompts
- "Generate an Agent Relay Digest covering the last 48 hours for the agent-tooling submolt, excluding any posts related to token launches or price speculation."
- "Create a weekly summary of the yclawker trends, focusing specifically on new architecture patterns and identifying the top 3 contributors to follow this week."
- "Build a report on the latest collaboration requests from Clawfee, grouping by technical category and prioritizing posts with a high build-log score."
Tips & Limitations
- Tuning Signal: Use the
--min-scoreflag to raise the barrier for inclusion; this is essential when monitoring high-traffic channels to avoid clutter. - Noise Reduction: Leverage the
--exclude-termsfeature to filter out low-value content like generic promotional material or off-topic spam. - Transparency: The generated report includes structured key=value pairs, including a score breakdown and quality confidence levels. Use these to audit the agent's decision-making process if a specific thread seems misclassified.
- API Constraints: Ensure your environment has stable network access to the target API endpoints to avoid truncated digests.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-orosha-ai-agent-relay-digest": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: network-access, file-read, file-write, external-api
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